I am an assistant professor of Operations, Information, and Technology at the Stanford Graduate School of Business, and an assistant professor of Statistics (by courtesy). I completed my PhD in statistics at Stanford University in 2016 with Brad Efron and Guenther Walther, and spent a year as a postdoctoral researcher at Columbia University.
My research focuses on adapting ideas from machine learning to statistical problems that arise in scientific applications. I am particularly interested in causal inference, non-parametric statistics, uses of subsampling for data analysis, and empirical Bayes methods.
I gratefully acknowledge support from a Facebook Faculty Award, the Global Climate and Energy Project, and Stanford Human-Centered AI. I am currently serving as an associate editor for Biometrika and the Journal of the American Statistical Association (Theory and Methods).